Site type

Location

Coordinates (degrees)
044.050° N, 001.667° E
Coordinates (DMS)
044° 03' 00" E, 001° 40' 00" N
Country (ISO 3166)
France (FR)

radiocarbon date Radiocarbon dates (6)

Lab ID Context Material Taxon Method Uncalibrated age Calibrated age References
BM-303 bilateral harpoon NA NA 11110±160 BP Vermeersch2019 Bird et al. 2022
GifA-90169 bone NA NA 13400±240 BP PalÔøΩo 13 2001: 204. Collins C.M. 2012. PhD University of Sheffield. Bird et al. 2022
GifA-90170 bone NA NA 13490±260 BP Guibert P. 2015. Q Geochronology 29: 36-45. Faigenbaum-Golovin S. 2016. PNAS 113: 4670-4675. Bird et al. 2022
GifA-92425 bone NA NA 25120±390 BP Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur en Europe. Armand Colin Paris. Bird et al. 2022
GifA-97311 bone Coelodonta antiquitatis Linty NA NA 13380±120 BP White 2012 PNAS 109: 8453 Bird et al. 2022
OxA-6667 bone NA NA 13230±90 BP Barshay-Szmidt C. Quaternary International 414 (2016) 62-91. Bird et al. 2022

typological date Typological dates (0)

Classification Estimated age References

Bibliographic reference Bibliographic references

@misc{Vermeersch2019,
  
}
@misc{PalÔøΩo 13 2001: 204. Collins C.M. 2012. PhD University of Sheffield.,
  
}
@misc{Guibert P.  2015. Q Geochronology 29: 36-45. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.,
  
}
@misc{Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur en Europe. Armand Colin Paris.,
  
}
@misc{White  2012 PNAS 109: 8453,
  
}
@misc{Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.,
  
}
@article{p3k14c,
  title = {P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates},
  author = {Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth, Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman, Jacob},
  year = {2022},
  month = {jan},
  journal = {Scientific Data},
  volume = {9},
  number = {1},
  pages = {27},
  publisher = {Nature Publishing Group},
  issn = {2052-4463},
  doi = {10.1038/s41597-022-01118-7},
  abstract = {Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography). Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world. These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth. However, these databases have been developed using different sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental data. We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria. This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research. As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales. This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies.},
  copyright = {2022 The Author(s)},
  langid = {english},
  keywords = {Archaeology,Chemistry},
  month_numeric = {1}
}
{"bibtex_key":"Vermeersch2019","bibtex_type":"misc"}{"bibtex_key":"PalÔøΩo 13 2001: 204. Collins C.M. 2012. PhD University of Sheffield.","bibtex_type":"misc"}{"bibtex_key":"Guibert P.  2015. Q Geochronology 29: 36-45. Faigenbaum-Golovin S.  2016. PNAS 113: 4670-4675.","bibtex_type":"misc"}{"bibtex_key":"Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur en Europe. Armand Colin Paris.","bibtex_type":"misc"}{"bibtex_key":"White  2012 PNAS 109: 8453","bibtex_type":"misc"}{"bibtex_key":"Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.","bibtex_type":"misc"}[{"bibtex_key":"p3k14c","bibtex_type":"article","title":"{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}","author":"{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth, Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman, Jacob}","year":"{2022}","month":"{jan}","journal":"{Scientific Data}","volume":"{9}","number":"{1}","pages":"{27}","publisher":"{Nature Publishing Group}","issn":"{2052-4463}","doi":"{10.1038/s41597-022-01118-7}","abstract":"{Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography). Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world. These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth. However, these databases have been developed using different sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental data. We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria. This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research. As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales. This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies.}","copyright":"{2022 The Author(s)}","langid":"{english}","keywords":"{Archaeology,Chemistry}","month_numeric":"{1}"}]
---
:bibtex_key: Vermeersch2019
:bibtex_type: :misc
---
:bibtex_key: 'PalÔøΩo 13 2001: 204. Collins C.M. 2012. PhD University of Sheffield.'
:bibtex_type: :misc
---
:bibtex_key: 'Guibert P.  2015. Q Geochronology 29: 36-45. Faigenbaum-Golovin S.  2016.
  PNAS 113: 4670-4675.'
:bibtex_type: :misc
---
:bibtex_key: Djindjian F. J. Kozlowski & M. Otte 1999. Le Paleolithique superieur
  en Europe. Armand Colin Paris.
:bibtex_type: :misc
---
:bibtex_key: 'White  2012 PNAS 109: 8453'
:bibtex_type: :misc
---
:bibtex_key: Barshay-Szmidt C.  Quaternary International 414 (2016) 62-91.
:bibtex_type: :misc
---
- :bibtex_key: p3k14c
  :bibtex_type: :article
  :title: "{P3k14c, a Synthetic Global Database of Archaeological Radiocarbon Dates}"
  :author: "{Bird, Darcy and Miranda, Lux and Vander Linden, Marc and Robinson, Erick
    and Bocinsky, R. Kyle and Nicholson, Chris and Capriles, José M. and Finley, Judson
    Byrd and Gayo, Eugenia M. and Gil, Adolfo and d’Alpoim Guedes, Jade and Hoggarth,
    Julie A. and Kay, Andrea and Loftus, Emma and Lombardo, Umberto and Mackie, Madeline
    and Palmisano, Alessio and Solheim, Steinar and Kelly, Robert L. and Freeman,
    Jacob}"
  :year: "{2022}"
  :month: "{jan}"
  :journal: "{Scientific Data}"
  :volume: "{9}"
  :number: "{1}"
  :pages: "{27}"
  :publisher: "{Nature Publishing Group}"
  :issn: "{2052-4463}"
  :doi: "{10.1038/s41597-022-01118-7}"
  :abstract: "{Archaeologists increasingly use large radiocarbon databases to model
    prehistoric human demography (also termed paleo-demography). Numerous independent
    projects, funded over the past decade, have assembled such databases from multiple
    regions of the world. These data provide unprecedented potential for comparative
    research on human population ecology and the evolution of social-ecological systems
    across the Earth. However, these databases have been developed using different
    sample selection criteria, which has resulted in interoperability issues for global-scale,
    comparative paleo-demographic research and integration with paleoclimate and paleoenvironmental
    data. We present a synthetic, global-scale archaeological radiocarbon database
    composed of 180,070 radiocarbon dates that have been cleaned according to a standardized
    sample selection criteria. This database increases the reusability of archaeological
    radiocarbon data and streamlines quality control assessments for various types
    of paleo-demographic research. As part of an assessment of data quality, we conduct
    two analyses of sampling bias in the global database at multiple scales. This
    database is ideal for paleo-demographic research focused on dates-as-data, bayesian
    modeling, or summed probability distribution methodologies.}"
  :copyright: "{2022 The Author(s)}"
  :langid: "{english}"
  :keywords: "{Archaeology,Chemistry}"
  :month_numeric: "{1}"

Changelog